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作 者:殷瑞忠 岳镇霖 何流 YIN Ruizhong;YUE Zhenlin;HE Liu(Nanjing Metro Operation Co.LTD,Nanjing 210012,China;Nanjing University of Science and Technology,Nanjing 210096,China)
机构地区:[1]南京地铁运营有限责任公司,南京210012 [2]南京理工大学,南京210096
出 处:《兵器装备工程学报》2022年第S02期297-301,共5页Journal of Ordnance Equipment Engineering
基 金:国家重点研发计划项目(2021YFE0194600)。
摘 要:在对城市轨道交通列车晚点传播分析的基础上,分别从企业运营角度和乘客角度对列车运行调整模型中的优化目标进行分析,以列车总晚点时间最少、晚点影响范围内乘客总等待时间最少和列车在各车站的平均上车率最高为优化目标,建立多目标列车运行调整模型。针对城轨列车运行调整约束条件相对复杂情况,采用新的初始化规则保证在微粒初始化时有足够的可行解,提出改进的微粒群算法。以南京地铁3号线的晚点场景为实例,分别对3种不同晚点场景条件进行列车运行调整策略分析,通过优化形成最优调整方案。In order to deal with the delay of urban rail transit trains under random interference factors,the operation according to the plan should be resumed as soon as possible.Based on the analysis of the delay propagation of urban rail transit trains,this paper analyzes the optimization objectives in the train operation adjustment model from the perspective of enterprise operation and passengers respectively.Taking the minimum total delay time of trains,the minimum total waiting time of passengers during delays and the maximum average boarding rate of trains at each station as the optimization objectives,this paper establishes a multi-objective train operation adjustment model.Aiming at the complicated conditions of urban rail train operation,it uses a new initialization rule to ensure that there are enough feasible solutions during particle initialization,and proposes an improved particle swarm algorithm.Finally,it selects the train operation data of Nanjing Metro Line 3 and adjusts the train operation for three different delay scenarios to form an optimal adjustment plan.
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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